Calibration and validation of a tire–snow interaction model

Lee, Jonah H.

doi:10.1016/j.jterra.2013.09.003

Cited by 13 publications

(3 citation statements)

References 37 publications

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“…The artificial viscosity of the SPH particles is combined with the momentum equation in the form of a passive term to enhance the numerical simulation stability. 12 The term p ij which represents the artificial viscosity is introduced into equation 1as indicated in equation (6). In addition, Monaghan indicated that the artificial viscosity can conserve the total linear and angular momenta 3…”

Section: Sph Snow Modelmentioning

confidence: 99%

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Modelling and prediction of tyre–snow interaction using finite element analysis–smoothed particle hydrodynamics techniques

El-Sayegh

El–Gindy

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper focuses on the modelling and prediction of truck tyre–snow interaction to compute tyre motion resistance coefficient. The off-road truck tyre size 315/80R22.5 is modelled using finite element analysis and validated in static and dynamic response against published measured data. The snow is modelled using smoothed particle hydrodynamics technique and hydrodynamic-elastic-plastic material and then calibrated against physical measurements provided by published terramechanics data. The contact algorithm implemented is the node-symmetric node-to-segment contact with edge treatment. The rolling resistance coefficient is also known as the motion resistance coefficient of the truck tyre–snow interaction and is computed for several operating conditions including the vertical load, inflation pressure, tyre longitudinal speed, and snow depth. The influence of the above-mentioned operating conditions on the truck tyre motion resistance coefficient is examined and discussed.

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Section: Sph Snow Modelmentioning

confidence: 99%

“…However, Choi did not attempt to compute the rolling resistance but rather the traction. One year later, Lee 6 numerically modelled and calibrated a tyre-snow interaction model. The Gaussian maximum likehood method was used to determine the snow mechanical properties, in addition to the snow depth and the coefficient of friction.…”

Section: Introductionmentioning

confidence: 99%

Modelling and prediction of tyre–snow interaction using finite element analysis–smoothed particle hydrodynamics techniques

El-Sayegh

El–Gindy

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Choi et al [13] employed a Lagrange-based FEM and the finite volume method (abbreviated as FVM) to simulate the interaction between tires and snow, and obtained simulation results that were consistent with the experimental results. However, the rolling resistance was not considered in the model; thus, Lee et al [14] improved the model by using the Gaussian great likelihood method to determine the mechanical properties of snow in addition to considering the snow depth and friction coefficients to achieve good results.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulations of the Driving Process of a Wheeled Machine Tire on a Snow-Covered Road

Wang

Hui

et al. 2023

Machines

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Wheeled machines, such as agricultural tractors, snowplows, and wheeled mobile robots, usually work on icy or snow-covered roads. Therefore, it is very important to study the driving and slip resistance of the tires of these machines. In this paper, we investigate the driving behavior of tires on snow-covered terrain by means of numerical simulations. A high-fidelity snow-covered road model is established, and smoothed particle hydrodynamics (SPH) and the finite element method (FEM) are employed to account for the behaviors of the snow layers and the pavement, respectively. We use the node-to-surface algorithm for the contact interactions between the snow and the pavement. The SPH parameters for the snow are calibrated by means of a triaxial compression experiment. A simplified tire model is established as well, using the FEM, and the effectiveness of the model is demonstrated via comparisons with the experimental data in terms of stiffness. Finally, the tire driving performance on the snow-covered road is simulated, and the influence of the tire surface configuration, external load, inflation pressure, and snowpack compression on the tire traction behaviors is systematically investigated.

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Vehicle–soil interaction: Testing, modeling, calibration and validation

Lee

Gard

2014

Journal of Terramechanics

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Calibration and validation of a tire–snow interaction model

Cited by 13 publications

References 37 publications

Modelling and prediction of tyre–snow interaction using finite element analysis–smoothed particle hydrodynamics techniques

Modelling and prediction of tyre–snow interaction using finite element analysis–smoothed particle hydrodynamics techniques

Numerical Simulations of the Driving Process of a Wheeled Machine Tire on a Snow-Covered Road

Vehicle–soil interaction: Testing, modeling, calibration and validation

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